SE Hickman

8 total papers · 551 total citations
8 papers, 486 citations indexed

About

SE Hickman is a scholar working on Physiology, Immunology and Molecular Biology. According to data from OpenAlex, SE Hickman has authored 8 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Physiology, 3 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in SE Hickman's work include Adenosine and Purinergic Signaling (3 papers), Neuroscience of respiration and sleep (2 papers) and Neonatal and fetal brain pathology (1 paper). SE Hickman is often cited by papers focused on Adenosine and Purinergic Signaling (3 papers), Neuroscience of respiration and sleep (2 papers) and Neonatal and fetal brain pathology (1 paper). SE Hickman collaborates with scholars based in United States. SE Hickman's co-authors include Joseph El Khoury, John D. Loike, Samuel C. Silverstein, Christian A. Thomas, Long Cao, S C Silverstein, Ira Schieren, Steven M. Greenberg, Jorge Fischbarg and Juan Carlos Vera and has published in prestigious journals such as Journal of Biological Chemistry, Blood and American Journal of Physiology-Cell Physiology.

In The Last Decade

SE Hickman

8 papers receiving 471 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
SE Hickman	138	131	119	117	115	8	486
Khadija Iken	85 0.6×	257 2.0×	23 0.2×	50 0.4×	40 0.3×	8	502
Mark D. Okusa	77 0.6×	191 1.5×	57 0.5×	42 0.4×	70 0.6×	12	405
Limin Gu	39 0.3×	220 1.7×	48 0.4×	28 0.2×	70 0.6×	9	493
Carmel McVicar	35 0.3×	119 0.9×	15 0.1×	42 0.4×	56 0.5×	13	506
Christoph Leib	135 1.0×	157 1.2×	16 0.1×	20 0.2×	50 0.4×	9	479
Hai‐Bin Tang	79 0.6×	205 1.6×	12 0.1×	44 0.4×	159 1.4×	11	504
Rika Ohkubo	109 0.8×	285 2.2×	46 0.4×	112 1.0×	30 0.3×	10	524
Karl Heinz Krause	78 0.6×	240 1.8×	16 0.1×	66 0.6×	32 0.3×	14	524
Sharon O’Neill	105 0.8×	221 1.7×	14 0.1×	79 0.7×	34 0.3×	9	470
Mi‐Hyang Cho	69 0.5×	210 1.6×	36 0.3×	166 1.4×	145 1.3×	7	477

Countries citing papers authored by SE Hickman

Since Specialization

Citations

This map shows the geographic impact of SE Hickman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by SE Hickman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites SE Hickman more than expected).

Fields of papers citing papers by SE Hickman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by SE Hickman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by SE Hickman. The network helps show where SE Hickman may publish in the future.

Co-authorship network of co-authors of SE Hickman

This figure shows the co-authorship network connecting the top 25 collaborators of SE Hickman. A scholar is included among the top collaborators of SE Hickman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with SE Hickman. SE Hickman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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